Imaging data. The imaging data acquired from TCIA contain publicly available pre-operative multi-institutional MRI scans for the TCGA LGG cohort. Specifically, we obtained MRI scans and the corresponding tumor segmentation labels for 65 LGG subjects from [1]}, [2]}. The segmentation labels were constructed using an automated segmentation method called GLISTRboost [3]}. One of the hurdles posed by MRI for statistical analysis is that the voxel intensity values are not comparable either between study visits for the same subject or across different subjects. Hence, it is required to pre-process these images to perform intensity value normalization. We employ a biologically motivated normalization technique using the R package WhiteStripe for intensity normalization [4]}. However, we discard imaging data for two subjects due to issues with segmentation masks and intensity value normalization, leaving us with a total of 63 LGG subjects with imaging data.
